Journal of Guangdong University of Technology ›› 2021, Vol. 38 ›› Issue (04): 9-16.doi: 10.12052/gdutxb.210045

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Extension of Knowledge Graph and its Intelligent Extension Library

Wang Pei-zhuang1, Zeng Fan-hui1,2, Sun Hui1,2, Li Xing-sen3, Guo Jian-wei1, Meng Xiang-fu1, He Jing4   

  1. 1. Institute of Intelligence Engineering and Mathematics, Liaoning Technical University, Fuxin 123000, China;
    2. College of Science, Liaoning Technical University, Fuxin 123000, China;
    3. Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou 510006, China;
    4. Chengdu Sub Center, National High Performance Computing Center, Chengdu 610094, China
  • Received:2021-03-10 Online:2021-07-10 Published:2021-05-25

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Abstract: The ultimate goal of constructing the database of the knowledge graph should be the isomorphism of human brain knowledge growth, and it should not be a passive solidified storage body but an actively growing hatching body. The idea of intelligent reproduction library is proposed, which is an updated version of the Knowledge graph, a multi-level embedded graph database system. Each concept node is a window. Open the window, and there is a sub-library produced. All concepts are coded hierarchically for fast query. A concept node is called a bud if the concept has multiple factors taking it as domain. Open the window of the bud, and a cause and effect analysis table is prepared, on which, factor space theory can perform algorithms to make intelligent judgment, reasoning, evaluation, decision-making and planning, by which the database becomes a living intelligent incubator. The Factorial Query Language (FQL) is also established, which may be used in the preparation of the intelligent incubation civil intelligent engineering, with guidance of the mechanistic general artificial intelligence theory.

Key words: knowledge graph, mechanical artificial intelligence, factor space, Extenics, intelligent extension library

CLC Number: 

  • TP391
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